Senior Associate, Investment Engineering (Analytics Platforms)

Dimensional Fund Advisors•Austin, TX

About The Position

Investment Engineering is part of Dimensional’s Investments Team and owns investment data and analysis tools, managing data from acquisition through distribution, generating insights through analysis, and creating content and analysis for internal and external clients and reports. It is a hub group involved in numerous areas of the investment process and interacts with most other departments within Dimensional. Within Investment Engineering, the Analytics Platforms team creates tools, content, and reporting that help clients understand Dimensional’s products and analyze how those products might fit into a client’s portfolio. The Senior Associate architects and engineers internal data platforms and self-service applications, builds production-grade data infrastructure, and partners with investment and client-facing departments to translate requirements into technical solutions. The role owns the technical product lifecycle, including roadmaps, system enhancements, reliability, and continuous deployment.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Software Engineering, Financial Engineering, or a highly quantitative field.
7–10+ years of hands-on experience writing advanced SQL, developing production-level Python, and engineering complex pipelines with large financial datasets.
Deep technical proficiency designing and implementing backend semantic layers and frontend solutions using BI platforms such as Tableau, Power BI, Looker, or custom web apps.
Ability to independently build and scale data products from database ingestion through user interface.
Experience translating abstract user feedback into concrete database schemas and system designs.
Demonstrated ability to lead data engineering strategies, execute complex technical initiatives, and manage senior stakeholders.
Exceptional data storytelling skills and ability to explain complex technical architectures clearly to investment professionals and business teams.

Responsibilities

Architect, write code for, and optimize internal data platforms and self-service applications, ensuring secure, high-performance user access to data.
Independently design and build automated data pipelines, semantic layers, and scalable data models that translate complex investment workflows into production-grade infrastructure.
Write clean, testable code, conduct code reviews, establish technical standards, and resolve complex debugging issues.
Partner with departments such as Portfolio Management and the Global Client Group to gather requirements and engineer technical solutions.
Own the end-to-end technical product lifecycle, including product feature roadmaps and hands-on system enhancements.
Help ensure uptime, data reliability, and continuous deployment (CI/CD).
Lead data engineering strategies and execute complex technical initiatives while managing senior stakeholders.
Translate complex technical architectures into clear concepts for investment professionals and business teams.